fMRI clustering and false-positive rates
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To minimize false positives from cluster-extent thresholding, the analysis used a computational method that does not employ random-field theory, derived spatial autocorrelation values from group residual mean-square images, and used a conservative cluster-defining threshold (P < 0.001).
“To minimize false positives that can occur with cluster-extent thresholding in fMRI analyses (see Eklund et al. 2016; but also see Cox et al. 2017), we adopted a computational method that does not employ a random-field theory approach, derived our spatial autocorrelation values from the respective group residual mean-square images, and used a conservative cluster defining threshold (i.e., P < 0.00”
From Neural Mechanisms of Episodic Retrieval Support Divergent Creative Thinking (2019) · cites this paper as Cox et al. 2017
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Cluster failure: why fMRI inferences for spatial extent have inflated false-positive rates
Eklund, A., Nichols, T. E., & Knutsson, H. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1602413113 · Cited by 3,487 · see citing works
Toward discovery science of human brain function
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FMRI Clustering in AFNI: False-Positive Rates Redux
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Self-citationChen, G., Adleman, N. E., Saad, Z. S., Leibenluft, E., & Cox, R. W. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.027 · Cited by 248 · see citing works
Self-citationAFNI and Clustering: False Positive Rates ReduxPreprint
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Self-citationFMRI Clustering in AFNI: False Positive Rates ReduxPreprint
Cox, R. W., Chen, G., Glen, D., Reynolds, R. C., & Taylor, P. A. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1702.04845 · Cited by 33 · see citing works
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- Authors
- Cox, R. W., Chen, G., Glen, D. R., Reynolds, R. C., & Taylor, P. A.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Cox, Robert W.
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2017-04-18
- Volume
- 114
- Issue
- 17
- Pages
- E3370-E3371
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC5410825
- OpenAlex
- W2592314376
- Cited by
- 219
- References
- 8
- Citations by year
- 2026: 11 · 2025: 16 · 2024: 26 · 2023: 20 · 2022: 17 · 2021: 32 · 2020: 17 · 2019: 35 · 2018: 29 · 2017: 16
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- HHS | NIH | National Institute of Mental Health (ZICMH002888)
- HHS | NIH | National Institute of Neurological Disorders and Stroke (ZICMH002888)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- false positive rate, brain activation detection, multiple comparisons, statistical significance, neuroimaging
- MeSH terms
- Brain Mapping, False Positive Reactions, Humans, Magnetic Resonance Imaging, Cluster Analysis
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